How to extract information about a nanosystem in canonical ensemble from the larger system in grand canonical ensemble
Daniel S. Kosov, Maxim F. Gelin, A.I. Vdovin
Abstract
Daniel S. Kosov, Maxim F. Gelin, A.I. Vdovin
Abstract
We present a method to compute averages in canonical ensemble based on calculations of the expectation values in grand canonical ensemble. The number of particles n, which is fixed in the canonical ensemble, is not necessarily the same as the average number of particles in the grand canonical ensemble.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We present a method to compute averages in canonical ensemble based on calculations of the expectation values in grand canonical ensemble. The number of particles n, which is fixed in the canonical ensemble, is not necessarily the same as the average number of particles in the grand canonical ensemble.
Key concepts: Grand canonical ensemble, Canonical ensemble, Microcanonical ensemble, Statistical ensemble, Non canonical, Ensemble forecasting, Ensemble learning, Canonical correlation